Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic : A time-series analysis
© The Author(s) 2023..
Objective: To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders.
Design: We conducted a cross-sectional study of HAIs in 3 hospitals in Missouri from January 1, 2017, through August 31, 2020, using interrupted time-series analysis with 2 counterfactual scenarios.
Setting: The study was conducted at 1 large quaternary-care referral hospital and 2 community hospitals.
Participants: All adults ≥18 years of age hospitalized at a study hospital for ≥48 hours were included in the study.
Results: In total, 254,792 admissions for ≥48 hours occurred during the study period. The average age of these patients was 57.6 (±19.0) years, and 141,107 (55.6%) were female. At hospital 1, 78 CLABSIs, 33 CAUTIs, and 88 VAEs were documented during the pandemic period. Hospital 2 had 13 CLABSIs, 6 CAUTIs, and 17 VAEs. Hospital 3 recorded 11 CLABSIs, 8 CAUTIs, and 11 VAEs. Point estimates for hypothetical excess HAIs suggested an increase in all infection types across facilities, except for CLABSIs and CAUTIs at hospital 1 under the "no pandemic" scenario.
Conclusions: The COVID-19 era was associated with increases in CLABSIs, CAUTIs, and VAEs at 3 hospitals in Missouri, with variations in significance by hospital and infection type. Continued vigilance in maintaining optimal infection prevention practices to minimize HAIs is warranted.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:3 |
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| Enthalten in: |
Antimicrobial stewardship & healthcare epidemiology : ASHE - 3(2023), 1 vom: 24., Seite e14 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sahrmann, John M [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 02.02.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1017/ash.2022.361 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM352246960 |
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| 100 | 1 | |a Sahrmann, John M |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic |b A time-series analysis |
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| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © The Author(s) 2023. | ||
| 520 | |a Objective: To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders | ||
| 520 | |a Design: We conducted a cross-sectional study of HAIs in 3 hospitals in Missouri from January 1, 2017, through August 31, 2020, using interrupted time-series analysis with 2 counterfactual scenarios | ||
| 520 | |a Setting: The study was conducted at 1 large quaternary-care referral hospital and 2 community hospitals | ||
| 520 | |a Participants: All adults ≥18 years of age hospitalized at a study hospital for ≥48 hours were included in the study | ||
| 520 | |a Results: In total, 254,792 admissions for ≥48 hours occurred during the study period. The average age of these patients was 57.6 (±19.0) years, and 141,107 (55.6%) were female. At hospital 1, 78 CLABSIs, 33 CAUTIs, and 88 VAEs were documented during the pandemic period. Hospital 2 had 13 CLABSIs, 6 CAUTIs, and 17 VAEs. Hospital 3 recorded 11 CLABSIs, 8 CAUTIs, and 11 VAEs. Point estimates for hypothetical excess HAIs suggested an increase in all infection types across facilities, except for CLABSIs and CAUTIs at hospital 1 under the "no pandemic" scenario | ||
| 520 | |a Conclusions: The COVID-19 era was associated with increases in CLABSIs, CAUTIs, and VAEs at 3 hospitals in Missouri, with variations in significance by hospital and infection type. Continued vigilance in maintaining optimal infection prevention practices to minimize HAIs is warranted | ||
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| 700 | 1 | |a Dubberke, Erik R |e verfasserin |4 aut | |
| 700 | 1 | |a Lyons, Patrick G |e verfasserin |4 aut | |
| 700 | 1 | |a Michelson, Andrew P |e verfasserin |4 aut | |
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| 700 | 1 | |a Burnham, Jason P |e verfasserin |4 aut | |
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